A Multi-objective Optimization Framework for Dynamic Planning of Energy Hub Considering Integrated Demand Response Program
Bibliographic Data
| ID | 21233738 |
|---|---|
| Authors | Amir Ahmarinejad (0000-0001-9180-8344, Islamic Azad University Central Tehran Branch, corresponding author) |
| Year | 2021 |
| Volume | 74 |
| Pages | 103136 |
| Publication date | 2021-11-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Sustainable Cities and Society (JOURNAL) |
| Journal identifiers | ISSN: 2210-6707 • E-ISSN: 2210-6715 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.scs.2021.103136 |
| OpenAlex | W3184018118 |
| Language | EN |
| Citations received | 14 |
| References cited | 35 |
Demand response · Fuzzy logic · Integrated business planning · Mathematical optimization · Optimization problem · Reliability engineering · Computer Science · Energy and Environment Impacts · Engineering · Hybrid Renewable Energy Systems · Integrated Energy Systems Optimization · Mathematics
Community decision-makers’ choice of multi-objective scheduling strategy for integrated energy considering multiple uncertainties and demand response
Modeling Optimal Energy Exchange Operation of Microgrids Considering Renewable Energy Resources, Risk-based Strategies, and Reliability Aspect Using Multi-objective Adolescent Identity Search Algorithm
Unraveling energy hub dynamics and political economy toward sustainable urban energy
Multiscale modeling in smart cities
Profitably scheduling the energy hub of inhabitable houses considering electric vehicles, storage systems, revival provenances and demand side management through a modified particle swarm optimization
Data-driven approaches to achieve energy transition
Tri-level stochastic transactive energy management and improved profit distribution scheme for multi-vectored networked microgrids
Quantifying the operational flexibility and invocation costs of urban regional integrated energy systems for participation in demand response programs
Rough knowledge enhanced dueling deep Q-network for household integrated demand response optimization
Risk-aware day-ahead planning of an energy hub integrated with the carbon capture unit considering cap and trade concept, energy and carbon markets and demand side flexibility
Risk-driven optimal scheduling of renewable-oriented energy hub under demand response program and energy storages
Tactical price-setter scheduling of a network-constrained integrated energy system under high penetration of solar distributed generations
Optimal stochastic-probability management of resources and energy storage in energy hub considering demand response programs and uncertainties
Co-optimization of expansion planning and dual-mode operations for regional integrated energy systems considering resilience enhancement under multiple uncertainties
Energy management in microgrids including smart homes
Stochastic operation and scheduling of energy hub considering renewable energy sources’ uncertainty and N-1 contingency
A Real-Time Rolling Horizon Chance Constrained Optimization Model for Energy Hub Scheduling
A multiple-coalition-based energy trading scheme of hierarchical integrated energy systems
Integrating energy and water optimization in buildings using multi-objective mixed-integer linear programming
| Unique citing works | 14 |
|---|---|
| Citations per year | 3,5 |
| Citation span | 2022 - 2026 (5) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 12 |